Compartir
Application of Fpga to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses) (en Inglés)
Piotr Antonik (Autor)
·
Springer
· Tapa Dura
Application of Fpga to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses) (en Inglés) - Piotr Antonik
Libro Nuevo
Importado
Envío: 7 a 9 días háb.
₡ 54.199
Costos de importación y 13% IVA incluídos en el precio ✅
Reseña del libro "Application of Fpga to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing (Springer Theses) (en Inglés)"
This book lies at the interface of machine learning – a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail – and photonics – the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs).Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Dura.
✓ Producto agregado correctamente al carro, Ir a Pagar.